National Aeronautics and Space Administration

ModelE Climate Simulations

Earth's Energy Imbalance: Zonal Means vs. Month

Note: Depending on your input choices, plots may take 5-10 seconds to generate. Please be patient.

Plot type:	Anomaly (Ensemble Mean) Trend (Ensemble) Ensemble Mean
Run A:	*E3f8oM20_b: E3oM20A+ptv forcings (ozone incorrect) (1880-2300) -------- control E3oM20: constant year 1880 forcings --- E3oM20A: mean of 5 early segments of run E3oM20
Run B:	approp. control if available none E3f8oM20_b
Quantity:	Ground Temperature, top layer (° C) Surface Air Temperature, mean (° C) MSU Channel 2 Temperature (° C) MSU Channel 3 Temperature (° C) MSU Channel 4 Temperature (° C)   -------------------- Net Radiation TOA (W/m²) Energy into Ground (W/m²) Sea Ice Cover (%)   -------------------- Precipitation (mm/day) Evaporation (mm/day) Pan Evaporation (mm/day)   -------------------- Sea Level Pressure (mb) 500 mb Height (m) 300 mb Height (m) 30 mb Height (m)   -------------------- Surface Wind Speed (m/s) Surface Wind, Zonal (m/s) 470 mb Wind, Zonal (m/s) 180 mb Wind, Zonal (m/s)   -------------------- Cloud Cover, total (%) Cloud Cover, low level (%)   -------------------- Snow and Ice Cover (%) Snow Cover (%)   -------------------- Absorbed Solar Rad. TOA (W/m²) Emitted Thermal Rad. TOA (W/m²)   -------------------- Net Solar Rad at Ground (W/m²) Incident Solar Rad at Ground (W/m²)
Time interval:	Time Interval Begin -- Time Interval End
Base period:	Base Period Begin -- Base Period End
Output:	Formatted page w/ download links Print-friendly page

Input Elements

• Plot type:
  • Anomalies: Average over a specified mean period and time interval and relative to a given base period
  • Trends: Change of a specified mean period over a specified time interval based on local linear trends
• Run A: pick only lines that start with '*' (ptv means prescribed time varying)
• Run B: Unless "none" is chosen, the difference map "Run A - Run B" is shown, where Run B is the long-term linear trend of the control run (obtained by using linear regression separately for each month of the year).
• Quantity: choose from available diagnostics
• Time interval: years which are displayed (pick round numbers since they are automatically extended to a multiple of a decade)
• Base period: time interval to which anomalies are relative

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